Associative learning

What is associative learning?

Associative learning is the process by which organisms learn to connect stimuli, behaviors, and outcomes through repeated experience. It encompasses both classical conditioning (Pavlov's dog learning that a bell predicts food) and operant conditioning (learning that pressing a lever produces a reward).

How it works

• In classical conditioning, a neutral stimulus becomes associated with an unconditioned stimulus through repeated pairing until it triggers the response on its own.
• In operant conditioning, behaviors are strengthened or weakened by their consequences.

A person may or may not be aware of the relationship. Observing learning and explaining the mental process behind it are separate steps.

Applied example

A person who regularly has coffee while checking email might eventually notice a craving when they open their inbox. The example illustrates how one event can come to predict another; it does not require the person to be unaware of the connection.

Why it matters

The concept helps explain why the relationship between an action, its setting, and its consequences matters. To understand a change, look at what was repeatedly experienced and what response changed. De Houwer and colleagues emphasize separating that observation from a theory of the mental mechanism.

Sources and further reading

• De Houwer et al., 2013 – What is learning? (Psychonomic Bulletin & Review)
• APA Dictionary: Associative Learning

In BCT Taxonomy v1, “associative learning” (7.8) has a narrower coding meaning: a classical-conditioning procedure. Reward and punishment techniques are coded separately.